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AI / Machine LearningRemote

Lead Agentic AI Engineer

Kriscon Inc - Company

Austin, Travis County, ๐Ÿ‡บ๐Ÿ‡ธ United StatesFull-time - Lead (7-10 years)0 applicantsCloses Aug 5, 2026

Salary

USD 102,829 - 102,829 / year

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Job description

Job details

  • Location: Austin, Travis County
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: USD 102,829 per year

Role overview

Kriscon Inc is seeking a Lead Agentic AI Engineer to spearhead the design and deployment of advanced AI applications. This leadership position focuses on leveraging Generative AI and agentic frameworks to build autonomous systems, combining high-level architectural strategy with hands-on technical execution.

Job details

This is a Full-time, Remote position operating within the EST time zone. Located in Austin, Travis County, this role is not an Internship. The offered salary for this position is 102,829 USD.

Responsibilities

  • Drive the design, development, and deployment of advanced AI-powered applications.
  • Lead the technical architecture for agentic AI frameworks and Generative AI initiatives.
  • Mentor junior and mid-level engineers to improve technical execution and AI best practices.
  • Shape the overall AI strategy to align with business goals and technological trends.
  • Oversee the integration of LLMs into production-ready autonomous systems.

Requirements

  • Extensive experience in AI/ML engineering with a focus on Generative AI.
  • Proven track record of designing and implementing agentic AI frameworks.
  • Strong leadership skills with experience guiding technical teams and architecture.
  • Deep proficiency in Python and modern AI development libraries.
  • Ability to work effectively in a remote environment within the EST time zone.

Benefits

  • Competitive salary of 102,829 USD
  • Fully remote work flexibility
  • Opportunity to lead cutting-edge AI strategy
  • Professional growth in a high-impact leadership role

Keywords

Generative AIAgentic FrameworksLLMsAI ArchitecturePythonAutonomous AgentsMachine Learning